Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{196419,
author = {Piyush Sandeep Bhojane and Saloni Santosh Patil and Sakshi Sharad Bangar},
title = {Agro-Intelligence: A Digital Platform for Real-Time Market Access and Weather Insights to Empower Farmers},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {11},
pages = {4169-4172},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=196419},
abstract = {Agriculture continues to be a key contributor to economic growth, yet farmers encounter multiple uncertainties due to irregular climate patterns and unstable market condi-tions. This paper presents Agro-Intelligence, a smart digi-tal framework designed to deliver real-time weather in-sights and agricultural market trends. The system incorpo-rates Artificial Intelligence (AI), Machine Learning (ML), and data analytics to generate region-specific predictions and decision-support recommendations. By combining multiple data sources through APIs and presenting outputs via a web interface built using PHP, HTML, and CSS, the platform ensures accessibility and usability. The proposed solution focuses on improving operational efficiency, re-ducing risks, and enabling farmers to adopt data-driven agricultural practices.},
keywords = {Agro-Intelligence, Smart Farming, Artificial Intelligence, Weather Forecasting, Data Analytics, PHP Digital Plat-form},
month = {April},
}
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